openevidence-migration-deep-dive
Execute complex OpenEvidence migrations including EHR integration, data migration, and system transitions. Use when migrating from legacy clinical decision support systems, integrating with new EHRs, or performing major platform transitions. Trigger with phrases like "openevidence migration", "ehr integration", "migrate to openevidence", "clinical ai migration", "legacy cds migration".
- License 许可
- MIT
- 最近更新
- 2026-05-26
- Stars
- ★ 0
- Forks
- 0
01 前言 Front Matter
- name
- openevidence-migration-deep-dive
- author
- Jeremy Longshore <jeremy@intentsolutions.io>
- license
- MIT
- version
- 1.0.0
- description
- Execute complex OpenEvidence migrations including EHR integration, data migration, and system transitions. Use when migrating from legacy clinical decision support systems, integrating with new EHRs, or performing major platform transitions. Trigger with phrases like "openevidence migration", "ehr integration", "migrate to openevidence", "clinical ai migration", "legacy cds migration".
- allowed-tools
- Read, Write, Edit, Bash(npm:*), Grep
- compatible-with
- claude-code, codex, openclaw
02 资源文件 1
- 参考文档references/implementation.md1.7 KB
03 SKILL.md 正文
OpenEvidence Migration Deep Dive
Table of Contents
Overview
Execute complex migrations including legacy CDS system transitions, EHR integrations (Epic/Cerner), and multi-site deployments for OpenEvidence clinical AI.
Prerequisites
- Access to both source and target systems
- Downtime window approved (if required)
- Rollback plan documented
- Clinical staff communication plan
Migration Scenarios
| Scenario | Complexity | Downtime | Duration |
|---|---|---|---|
| Legacy CDS to OpenEvidence | High | 4-8 hours | 2-4 weeks |
| Add EHR Integration | Medium | None | 1-2 weeks |
| Multi-site Expansion | Medium | None | 1-2 weeks |
| API Version Upgrade | Low | None | 1-3 days |
Instructions
Step 1: Assess Legacy System
Audit current usage (daily queries, peak rate, unique users), map features, identify integrations (EHR, SSO, audit), and determine data migration scope (saved searches, preferences, audit logs -- required for HIPAA).
Step 2: Implement Parallel Running
Create ParallelRunner that queries OpenEvidence as primary, optionally queries legacy for comparison (configurable ratio). Log comparison metrics (response time, confidence, citation count) without PHI. Auto-fallback to legacy on OpenEvidence failure.
Step 3: Migrate Data
Run migration jobs for users (with role mapping), user preferences, and audit logs (HIPAA required). Use upsert for idempotency, batch processing for audit logs (10k per batch), and progress tracking.
Step 4: Integrate with EHR (Epic/Cerner)
Configure SMART on FHIR with appropriate scopes. Implement CDS Hooks endpoints for patient-view and medication-prescribe. Extract conditions and medications from FHIR prefetch data for OpenEvidence queries.
Step 5: Configure Multi-Site
Define per-site configuration: siteId, region, OpenEvidence orgId, EHR system, feature flags, and quotas. Support different tiers per site.
Step 6: Execute Cutover
Follow migration checklist: pre-migration (approvals, backups, test env), during (parallel run, data migration, EHR testing), post (decommission legacy, train staff, document lessons).
Output
- Legacy system assessment and feature mapping
- Parallel running with comparison metrics
- Data migration scripts (users, preferences, audit logs)
- EHR integration (SMART on FHIR, CDS Hooks)
- Multi-site configuration
- Migration checklist
Error Handling
| Migration Issue | Detection | Resolution |
|---|---|---|
| Data corruption | Validation checks | Restore from backup |
| SSO failure | Auth errors | Verify IdP configuration |
| EHR integration fails | CDS Hook errors | Check FHIR endpoints |
| Performance regression | Metrics comparison | Optimize or rollback |
Examples
CDS Hook Discovery
{
"services": [
{ "id": "openevidence-clinical-decision-support", "hook": "patient-view" },
{ "id": "openevidence-drug-interaction", "hook": "medication-prescribe" }
]
}
See detailed implementation for advanced patterns.
Resources
04 同仓库更多 Skills
zustand-store-ts
Create Zustand stores with TypeScript, subscribeWithSelector middleware, and proper state/action separation. Use when building React state management, creating global stores, or implementing reactive state patterns with Zustand.
zustand-store-creator
Zustand Store Creator - Auto-activating skill for Frontend Development. Triggers on: zustand store creator, zustand store creator Part of the Frontend Development skill category.
zero-trust-config-helper
Zero Trust Config Helper - Auto-activating skill for Security Advanced. Triggers on: zero trust config helper, zero trust config helper Part of the Security Advanced skill category.
zapier-integration-helper
Zapier Integration Helper - Auto-activating skill for Business Automation. Triggers on: zapier integration helper, zapier integration helper Part of the Business Automation skill category.
zai-cli
Execute z.AI CLI providing vision, search, reader, and GitHub exploration via CLI and MCP. Use when user needs image/video analysis, OCR, UI-to-code conversion, error diagnosis, real-time web search, web page to markdown extraction, or GitHub code exploration. Trigger with phrases like "analyze this image", "search the web for", "read this page", "explore this repo", or "use zai". Requires Z_AI_API_KEY.
yt-research
Research competitor YouTube channels, niches, and trending topics for your content strategy. Use this skill whenever the user says "research channels", "analyze competitors", "find trending topics", "niche analysis", "competitive research", "what are other creators doing", "scrape YouTube channels", or wants to understand the competitive landscape for a specific tool or topic area. Use when working with yt research. Trigger with 'yt', 'research'.